Biochemistry Subject Matter Expert - AI Content Specialist

Biochemistry Subject Matter Expert (AI Training)
About the Role
We're looking for PhD-level Biochemists to help evaluate and improve the scientific reasoning of cutting-edge AI systems. Your expertise will directly shape how AI understands and communicates complex topics — from protein folding to metabolic flux — making a real impact on the future of AI in life sciences.
This is a fully remote, flexible contract role. No AI experience required.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design Expert-Level Problems — Create advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously test AI performance

• Author Gold-Standard Solutions — Write precise, step-by-step technical responses that serve as benchmarks for high-level scientific reasoning in AI models

• Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for scientific accuracy, logical consistency, and safety

- Sharpen AI Reasoning — Identify and document failure modes such as incorrect stoichiometry, flawed stereochemistry, or misunderstood metabolic logic, then provide structured feedback to drive model improvement

• Sharpen AI Reasoning — Identify and document failure modes such as incorrect stoichiometry, flawed stereochemistry, or misunderstood metabolic logic, then provide structured feedback to drive model improvement

• Holds a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline

• Deep domain knowledge in one or more areas: structural biology, enzymology, cellular metabolism, bioinformatics, or molecular genetics

• Able to translate highly technical concepts into clear, precise written explanations

• Exceptionally detail-oriented when reviewing complex chemical equations, molecular diagrams, or experimental protocols

• Self-motivated and comfortable working independently and asynchronously

- No prior AI or data annotation experience required

• No prior AI or data annotation experience required

• Experience with data annotation, quality evaluation, or scientific peer review

• Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST

- Background in scientific writing or technical communication

• Background in scientific writing or technical communication

• Work on high-impact AI projects in partnership with leading AI research labs

• Fully remote and flexible — structure your work around your schedule

• Contribute to meaningful work that advances AI accuracy in scientific domains

• Gain firsthand exposure to how large language models are trained and evaluated

• Freelance autonomy with the potential for ongoing contract extension